smdi - An R package to perform routine structural
missing data investigations in real-world dataPartially observed covariates are a common challenge in the analysis of electronic health records. Backed by large-scale simulations, this package eases the implementation of routine missing data checks to characterize the underlying missingness and make informed decisions about the appropriate analytical choice for your study.
Link to package website
Package presentation at the New England Statistics Symposium 2023: